Anonymous Group Communication for Internet Services based on Publish/Subscribe

基于发布/订阅的Internet服务匿名群组通信

• 批准号: 317688284
• 负责人: Professor Dr. Max Mühlhäuser
• 金额: --
• 依托单位: Fachgebiet Telekooperation
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2017
• 资助国家: 德国
• 起止时间: 2016-12-31 至 2021-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/317688284?language=en
• 关键词: Anonymous; Group; Communication; Internet; Services

Many services on the Internet, like for instance Twitter, or WhatsApp, organize their participants into groups of users who share a common interest, and implement some group communication. Privacy in general, and specifically anonymous communication are increasingly important, in this context. This entails that while the content of some messages may be shared with large groups, the respective meta data of senders, receivers, as well as their interests must be kept secret. This privacy is expected towards 1) other members of the groups, 2) the service providers, and 3) eavesdroppers, like criminals or intelligence agencies of potentially totalitarian nation states. The initial negotiations in for instance dating or car-sharing sites may require that the participants can hide their identity, until some common trust has been established. Investigative journalism, or whistleblowing certainly requires the privacy of the users from service providers and state institutions. The proposed project will investigate anonymous group communication for the above stated applications. Instead of applying server-based approaches, we will research decentralized group communication following the Pub/Sub paradigm, as it allows for setting up multicast groups without any centralized entities.We will focus on three specific aspects: i) the development of algorithms and protocols for efficient pub/sub multicas, ii) the corresponding adversary models, and iii) privacy metrics, and the bounds on the possible privacy of users within such systems. Bringing together groups from Darmstadt and Dresden, we will interleave our respective methods and a) create formal models of user behaviour, adversaries, and the systems, b) develop user and load models as well as simulation models to evaluate the developed systems and the state of the art, and c) integrate the approach into existing friend-to-friend networks, to analyse it under realistic conditions.

Internet上的许多服务，例如Twitter或WhatsApp，将参与者组织成共同兴趣的用户组，并实施一些小组交流。在这种情况下，隐私，尤其是匿名通信越来越重要。这需要说明，尽管某些消息的内容可以与大型组共享，但发件人，接收器及其兴趣的各个元数据必须保密。期望对1）其他团体成员，2）服务提供者和3）窃听者，例如潜在极权国家国家的犯罪分子或情报机构。例如，约会或汽车共享站点的初步谈判可能要求参与者可以隐藏自己的身份，直到建立了一些共同的信任为止。调查新闻或举报当然需要服务提供商和州机构的用户隐私。拟议的项目将调查上述申请的匿名集团通信。我们将不采用基于服务器的方法，而是在Pub/sub范围之后研究分散的组沟通，因为它允许在没有任何集中式实体的情况下设置多播组。我们将重点介绍三个特定方面：i）算法和协议的开发，用于有效的pub/sub multicas，以实现相应的私有模型，以及III级的自私范围和III范围的范围。将达姆斯塔特（Darmstadt）和德累斯顿（Dresden）的小组汇总在一起，我们将交流各自的方法，a）创建用户行为，对手和系统的正式模型，b）开发用户和负载模型以及模拟模型，以评估已开发的系统和艺术状态，c）将方法集成到现有的朋友对朋友网络中，以分析现有条件，以分析现有的条件。